Harness the power of AI to revolutionize your data collection, analysis, and decision-making processes.
Artificial Intelligence (AI) is revolutionizing data strategies by enabling organizations to unlock insights from large datasets, automate operations, and enhance resource allocation. Data democratization is gaining importance, making data accessible to non-experts and fostering a collaborative, data-driven culture. High data quality is essential for reliable AI outputs and sound decision-making, emphasizing the need for accurate, consistent, and timely data.
Overview
The Data & AI Summit will gather Italian Digital Leaders to discuss the challenges and opportunities related to managing data and AI initiatives in an ever-evolving global context. We will explore how, with the growth of digital operations, CXOs will have to face the issue of technical debt, which limits flexibility and hinders innovation. We will also talk about modernizing IT environments through cloud services, APIs, and no-code/low-code platforms.




Venue

Magna Pars Event Space Via Tortona 15, 20144, Milano
Tucked in Milan’s trend-setting Tortona district, this venue blends chic industrial design with modern flair. With sleek rooms, tech-ready facilities, rooftop access, and gourmet catering, it’s perfect for everything from conferences to cocktail receptions.
Knowledge Hub

Rethinking AI and Innovation: From Output-Driven to Process-Centric
Most of the hype related to GenAI in the industrial environment centers around applications and use cases. I call this output-driven. Users and internal sponsors find it easy to understand this approach because they can see the benefits and ROI of the solutions. There is a tool, clear CAPEX and OPEX, and an obvious result.

How to Help Your Customers Through the Growing Pains of AI Adoption
Welcome to the wild world of AI adoption, where companies are caught in a whirlwind of buzzwords, shiny new toys, and the constant fear of missing out. Today, we’re looking at a peculiar plague sweeping across Western Europe’s businesses: pilotitis and its close cousin, acute proof of concept (POC) syndrome.

The 7 Axes of Data Platform Selection in the Era of AI: A Primer
In the realm of data platform decision-making, organizations typically consider several dimensions when making their choices. These encompass aspects including functionality, performance, scalability, cost, flexibility, and alignment with specific use cases.
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